About

Poloju Shashidhar is an aspiring data scientist and machine learning developer with expertise in data structures and algorithms, artificial intelligence, and machine learning. Currently working as a Software Engineer at Wipro Limited, he holds a Bachelor's degree in Mechanical Engineering from NIT Silchar. Shashidhar has worked on several projects during his tenure at Wipro Limited, including BioAPI, an internal project that involved developing a backend python code to calculate the mortality and durability of the Corona virus variants using nucleotide sequences and protein sequences. This project required him to study proteins and implement dynamic programming in health informatics. In addition to his work at Wipro, Shashidhar has also worked as a Project Engineer at the same company, where he participated in a corporate hackathon conducted by Cardinal Health Group. As a data scientist and machine learning developer, he developed an application called Patient Adherence Application. He experimented with time-series algorithms like SARIMAX, Facebook Prophet, and deep neural layers like RNN, LSTM. He also used Jupyter Notebook for development and Spyder for data visualization. Before Wipro, Shashidhar worked as a Managed Network Expert at Chegg, where he tutored and cleared doubts in advanced physics. Shashidhar holds a Bachelor's degree in Mechanical Engineering from NIT Silchar and is currently pursuing a Master's degree in Computer and Information Sciences from Southern Arkansas University, which he is expected to complete in March 2024. He also has a background in science, having completed his Intermediate education in MPC (Science) from Sri Chaitanya Junior College, Hyderabad, and Class 10 from Sri Chaitanya Techno School, Bangalore. Shashidhar's tech stack includes software engineering, machine learning, artificial intelligence, Jupyter, Python, backend development, RNN, data science, research science, and neural networks. With 1.86 years of relevant experience, he is a skilled and dedicated professional who is passionate about data science and machine learning.